nlp engineer

MageBytes Private Limited

Experience: 3+ YearsWe&rsquo;re looking for a skilled AI Engineer with hands-on experience in Machine Learning, NLP, and Generative AI to join our growing team.Key Responsibilities:<ul><li>Design, develop, and deploy ML/NLP models and AI-powered solutions</li><li>Work with Zero-shot/Few-shot learning techniques and embedding-based models</li><li>Build and integrate REST APIs using Flask/FastAPI</li><li>Collaborate with cross-functional teams to deliver scalable AI solutions</li></ul>Required Skills:<ul><li>Strong proficiency in Python</li><li>Experience with ML, NLP &amp; Generative AI</li><li>NLP techniques: TF-IDF, Word2Vec, BERT</li><li>Hands-on with OpenAI, LLaMA</li><li>ML algorithms: Logistic Regression, Decision Trees, KNN, SVM, Random Forest</li><li>Databases: MongoDB, MySQL</li><li>API development: Flask / FastAPI</li><li>Version control &amp; project tools: Git, Bitbucket, JIRA, Asana</li></ul>Why Join Us?<ul><li>Fully remote opportunity</li><li>Work on cutting-edge AI projects</li><li>Collaborative and fast-growing team</li></ul>Job Types: Full-time, Freelance Contract length: 12 monthsPay: ₹40,000.00 - ₹80,000.00 per monthWork Location: Remote

AI Engineer (Remote)

True Tech Professionals Private Limited

Job Title: AI/ML Engineer &ndash; Generative AI &amp; LLMsLocation: Gurgaon (Hybrid)Experience: 4+ YearsAvailability: Only Immediate JoinersProject: Be a part of a cutting-edge, large-scale AI initiative with some of the brightest minds in the industry.About the Role:We are seeking an exceptionally talented AI/ML Engineer to join our elite team working on one of the most ambitious Generative AI projects in the industry. This is a high-impact role where you'll have the opportunity to work hands-on with state-of-the-art Large Language Models (LLMs), NLP frameworks, semantic search, and MLOps to build intelligent systems that transform how humans interact with machines.Key Responsibilities:<ul><li>Design, develop, and deploy LLM-based solutions for real-world use cases</li><li>Work with Generative AI models, transformers, NLP tools, and embedding techniques</li><li>Integrate external AI APIs and fine-tune models for performance and accuracy</li><li>Build and optimize Vector Databases for semantic search and similarity detection</li><li>Apply MLOps principles for scalable model deployment and monitoring</li><li>Collaborate closely with a team of researchers, engineers, and data scientists</li><li>Participate in architecture discussions, and take ownership of AI model pipelines</li><li>Stay on top of the latest advancements in AI, NLP, and deep learning research</li></ul>Required Skills &amp; Experience:<ul><li>4+ years of strong, hands-on experience in AI/ML model development</li><li>Proficiency in LLMs, NLP frameworks, transformers, and embedding techniques</li><li>Practical experience working with Generative AI models (OpenAI, LLaMA, Hugging Face, etc.)</li><li>Deep knowledge of Vector DBs (e.g., FAISS, Qdrant, Pinecone) and semantic search</li><li>Strong API integration skills and experience working on live AI/ML projects</li><li>Familiar with MLOps tools (MLflow, SageMaker, etc.) and CI/CD pipelines</li><li>Passionate about AI innovation and solving complex real-world problems</li><li>Excellent communication and problem-solving abilities</li></ul>Why Join Us?<ul><li>Work on one of the biggest Generative AI projects in the country</li><li>Collaborate with genius minds and domain experts</li><li>Be at the forefront of AI evolution</li><li>Competitive compensation and long-term growth opportunities</li><li>Seniority LevelMid-Senior level</li><li>Industry</li><li>IT Services and IT Consulting</li><li>Employment TypeFull-time</li><li>Job Functions</li><li>Consulting</li><li>Skills</li><li>Programming</li><li>MLOps</li><li>Large Language Models (LLM)</li><li>Natural Language Processing (NLP)</li><li>Python (Prog</li></ul>Job Type: Full-timePay: ₹1,000,000.00 - ₹2,200,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: Hybrid remote in Gurgaon, Haryana

Data Scientist

MASTER-WORKS

<div>We are seeking a talented and motivated AI Engineer with expertise in Large Language Models
(LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies.
As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions
that enhance our products and services through intelligent automation, language
understanding, and seamless communication systems.
Key Responsibilities
LLM Development &amp; Integration
 Fine-tune and deploy Large Language Models for chatbots, content generation, and
virtual assistants.
 Evaluate and optimize model performance in real-world use cases.
 Integrate LLMs into production environments ensuring scalability and reliability.
NLP System Design
 Design and implement NLP algorithms for text classification, sentiment analysis, entity
recognition, and summarization.
 Handle large text datasets for model training and validation.
 Collaborate with cross-functional teams to address language-related challenges.
Speech-to-Text Implementation
Develop and optimize speech-to-text (ASR) pipelines for multiple languages and
dialects.
 Integrate speech recognition systems with NLP and LLM modules for end-to-end
conversational experiences.
 Stay updated with advancements in Automatic Speech Recognition (ASR) technologies.
Performance Optimization
Improve AI model efficiency for real-time performance and scalability.
 Identify and mitigate biases to ensure model accuracy, fairness, and robustness.
Research &amp; Innovation
Stay current with cutting-edge research in LLMs, NLP, and Speech AI.
 Experiment with new architectures and techniques to drive innovation.
Documentation &amp; Collaboration
 Maintain detailed documentation of models, datasets, and workflows.
 Collaborate with product managers, software engineers, and other stakeholders to
deliver production-grade AI solutions.
Requirements
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science,
or related fields.
 Proven experience in LLM development (e.g., OpenAI GPT, Claude, or similar
frameworks).
 Strong knowledge of NLP libraries (e.g., Hugging Face, spaCy, NLTK).
 Hands-on experience with speech-to-text tools (e.g., Whisper, Google Speech API,
DeepSpeech).
 Proficiency in Python and frameworks like TensorFlow or PyTorch.
 Excellent analytical, problem-solving, and communication skills.</div>

Technical Lead

Master Works

<div>
 We are seeking a talented and motivated AI Engineer with expertise in Large Language Models
 
 
 (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies.
 
 
 As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions
 
 
 that enhance our products and services through intelligent automation, language
 
 
 understanding, and seamless communication systems.
 
 
 Key Responsibilities
 
 
 LLM Development &amp; Integration
 
 
 Fine-tune and deploy Large Language Models for chatbots, content generation, and
 
 
 virtual assistants.
 
 
 Evaluate and optimize model performance in real-world use cases.
 
 
 Integrate LLMs into production environments ensuring scalability and reliability.
 
 
 NLP System Design
 
 
 Design and implement NLP algorithms for text classification, sentiment analysis, entity
 
 
 recognition, and summarization.
 
 
 Handle large text datasets for model training and validation.
 
 
 Collaborate with cross-functional teams to address language-related challenges.
 
 
 Speech-to-Text Implementation
 
 
 Develop and optimize speech-to-text (ASR) pipelines for multiple languages and
 
 
 dialects.
 
 
 Integrate speech recognition systems with NLP and LLM modules for end-to-end
 
 
 conversational experiences.
 
 
 Stay updated with advancements in Automatic Speech Recognition (ASR) technologies.
 
 
 Performance Optimization
 
 
 Improve AI model efficiency for real-time performance and scalability.
 
 
 Identify and mitigate biases to ensure model accuracy, fairness, and robustness.
 
 
 Research &amp; Innovation
 
 
 Stay current with cutting-edge research in LLMs, NLP, and Speech AI.
 
 
 Experiment with new architectures and techniques to drive innovation.
 
 
 Documentation &amp; Collaboration
 
 
 Maintain detailed documentation of models, datasets, and workflows.
 
 
 Collaborate with product managers, software engineers, and other stakeholders to
 
 
 deliver production-grade AI solutions.
 
 
 
 Requirements
 
 
 
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science,
 
 
 or related fields.
 
 
 Proven experience in LLM development (e.g., OpenAI GPT, Claude, or similar
 
 
 frameworks).
 
 
 Strong knowledge of NLP libraries (e.g., Hugging Face, spaCy, NLTK).
 
 
 Hands-on experience with speech-to-text tools (e.g., Whisper, Google Speech API,
 
 
 DeepSpeech).
 
 
 Proficiency in Python and frameworks like TensorFlow or PyTorch.
 
 
 Excellent analytical, problem-solving, and communication skills.
</div>

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
 
 
 We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.
 
 
 
 
 
 
 About the Role
 
 
 
 As a key member of our LLM &amp; Core NLP team, you will spearhead the development of intelligent, data-driven solutions that power our platforms. This role involves much more than just model training; you will bridge the gap between cutting-edge academic research and tangible business impact, designing sophisticated architectures ranging from RAG (Retrieval-Augmented Generation) systems to autonomous agentic AI. You will act as a champion of our data culture, working closely with engineering and product stakeholders to translate complex free-text data into actionable strategies for search, recommendation, and content moderation. Leveraging your deep expertise in Python, PyTorch, and Large Language Models, you will tackle "impossible" questions and deliver optimized, high-performance AI solutions that define the future of our customer experience.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 
 Core NLP &amp; LLM Development:
 
 </li>
 <li>
 Design and implement state-of-the-art NLP architectures, focusing on Large Language Models (LLMs), Vision-Language Models (VLMs), and Agentic AI systems (MCP, A2A protocols, tool-calling).
 </li>
 <li>
 Construct and optimize deep learning models using advanced techniques such as Low-Rank Adaptation (LoRA/PEFT), quantization, distillation, and advanced prompting strategies (e.g., Chain-of-Thought, LLM-as-a-Judge).
 </li>
 <li>
 Develop and deploy Generative AI solutions for high-impact areas including search, recommendation engines, catalog management, user-generated content areas, and moderation.
 </li>
 <li>
 Build robust RAG (Retrieval-Augmented Generation) systems, handling the full pipeline from embedding generation and vector databases to context retrieval and answer synthesis.
 </li>
 <li>
 
 Data Strategy &amp; Application:
 
 </li>
 <li>
 Drive solutions from free-text data across multiple languages, utilizing extensive data mining and statistical analysis to extract actionable insights.
 </li>
 <li>
 Conduct exploratory data analysis (EDA)and rigorous error analysis to identify hidden patterns, navigate complex datasets, and establish ground truths.
 </li>
 <li>
 Innovate in data preprocessing, including the design of automated label generation workflows and data cleaning pipelines to ensure high-quality model input.
 </li>
 <li>
 
 Business Impact &amp; Collaboration:
 
 </li>
 <li>
 Partner with engineering and product stakeholders to identify opportunities where AI can solve critical business problems in mobile commerce and ad-tech.
 </li>
 <li>
 Synthesize complex technical methodology into clear business strategies, communicating findings effectively to management to drive decision-making.
 </li>
 <li>
 Champion a data-driven culture within the organization, advocating for best practices in machine learning and data science.
 </li>
 <li>
 Track and apply the latest developments in NLP and Gen AI literature to maintain a competitive edge in e-commerce business problems.
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 
 Essential Background &amp; Skills
 
 </li>
 <li>
 Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Experience: 3+ years of hands-on experience in Data Science, with a specific focus on NLP, Generative AI, or LLM development
 </li>
 <li>
 Technical Proficiency: Strong command of Python and SQL. Extensive experience with deep learning frameworks (PyTorch, TensorFlow) and NLP libraries (Hugging Face Transformers, LangChain, Pandas, Scikit-learn).
 </li>
 <li>
 LLM Expertise: Proven track record in training, fine-tuning, and evaluating LLMs. Experience with OpenAI/Gemini APIs (chat/completions, embeddings, fine-tuning, tool-calling).
 </li>
 <li>
 Core NLP Knowledge: Deep understanding of foundational concepts including summarization, QA, information extraction, clustering, and semantic search.
 </li>
 <li>
 Communication: Excellent written and verbal communication skills in English, with the ability to explain complex AI concepts to non-technical teams.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Preferred Qualifications (Nice-to-haves)
 
 </li>
 <li>
 Advanced Education: A PhD in AI, NLP, or Data Science.
 </li>
 <li>
 Domain Experience: Prior experience in mobile commerce, ad-tech, or self-service business models.
 </li>
 <li>
 Soft Skills: A "can-do" attitude with a curiosity for "impossible" questions, strong interpersonal skills, and a result-oriented mindset.
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 A hybrid working model with flexibility &mdash; a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 A customizable FlexBenefits budget &mdash; Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
 
 
 Comprehensive wellbeing support &mdash; Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.
 
 
 Personalized training allowance and learning opportunities &mdash; Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
 
 
 Responsibility from day one &mdash; Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 A diverse, international team &mdash; Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 
 
 Opportunities to grow with the best &mdash; Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 Meaningful connections beyond tasks &mdash; Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply now and let&rsquo;s take the next step together.
 
 
 Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
 
</div>

Data Science Professionals (LLM & Core NLP)

i-sourcing Technologies Pvt Ltd

Job Summary: We are looking for a skilled AI/ML Engineer with hands-on experience in LLMs, RAG, NLP, and AI automation. The candidate will work on developing and deploying AI-powered APIs, chatbots, OCR, and web scraping solutions using Python, FastAPI/Flask, and modern AI frameworks.Key Responsibilities:<ul><li>Develop and maintain AI/ML &amp; LLM-based applications</li><li>Build REST APIs with FastAPI / Flask</li><li>Implement RAG pipelines using vector databases</li><li>Integrate and fine-tune LLMs (OpenAI, Mistral, Claude, LLaMA)</li><li>Work with LangChain, LlamaIndex, embeddings, and NLP pipelines</li><li>Deploy AI services using Docker &amp; cloud platforms</li><li>Create web scraping and OCR workflows</li></ul>Requirements:<ul><li>Strong Python programming (OOP)</li><li>Hands-on experience with FastAPI/Flask</li><li>Practical experience with LLMs, NLP, and Deep Learning</li><li>Knowledge of RAG, vector DBs, LangChain, LlamaIndex</li><li>Experience in data processing (pandas, numpy)</li><li>Deployment experience with Docker/cloud</li></ul>Location: Ahmedabad(Only local candidates can apply) Experience: 1+ Years (Data Scientist / AI-ML) Education: Graduation in IT / Computer ScienceJob Type: Full-timePay: ₹25,000.00 - ₹30,000.00 per monthBenefits:<ul><li>Health insurance</li><li>Leave encashment</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul>Experience:<ul><li>Deep learning: 1 year (Required)</li><li>Natural language processing: 1 year (Required)</li><li>Large Language Model: 1 year (Required)</li></ul>Location:<ul><li>Ahmedabad, Ahmedabad, Gujarat (Required)</li></ul>Work Location: In person

AI/ML Engineer

i-Sourcing Technologies Private Limited

Job Summary: We are looking for a skilled AI/ML Engineer with hands-on experience in LLMs, RAG, NLP, and AI automation. The candidate will work on developing and deploying AI-powered APIs, chatbots, OCR, and web scraping solutions using Python, FastAPI/Flask, and modern AI frameworks.Key Responsibilities:<ul><li>Develop and maintain AI/ML &amp; LLM-based applications</li><li>Build REST APIs with FastAPI / Flask</li><li>Implement RAG pipelines using vector databases</li><li>Integrate and fine-tune LLMs (OpenAI, Mistral, Claude, LLaMA)</li><li>Work with LangChain, LlamaIndex, embeddings, and NLP pipelines</li><li>Deploy AI services using Docker &amp; cloud platforms</li><li>Create web scraping and OCR workflows</li></ul>Requirements:<ul><li>Strong Python programming (OOP)</li><li>Hands-on experience with FastAPI/Flask</li><li>Practical experience with LLMs, NLP, and Deep Learning</li><li>Knowledge of RAG, vector DBs, LangChain, LlamaIndex</li><li>Experience in data processing (pandas, numpy)</li><li>Deployment experience with Docker/cloud</li></ul>Location: Ahmedabad(Only local candidates can apply) Experience: 1+ Years (Data Scientist / AI-ML) Education: Graduation in IT / Computer ScienceJob Type: Full-timePay: ₹25,000.00 - ₹30,000.00 per monthBenefits:<ul><li>Health insurance</li><li>Leave encashment</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul>Experience:<ul><li>Deep learning: 1 year (Required)</li><li>Natural language processing: 1 year (Required)</li><li>Large Language Model: 1 year (Required)</li></ul>Location:<ul><li>Ahmedabad, Gujarat (Required)</li></ul>Work Location: In person

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